wrap.simple: ANOVA (simple main effects)
In michaelkardas/bwrappers: Clean, analyze, and visualize data in the behavioral sciences
wrap.simple R Documentation
ANOVA (simple main effects)
Description
Computes simple main effects for a two-way, between-subjects ANOVA.
The function delegates the primary computations to testInteractions.
Note that this function assumes categorical (i.e., unordered) independent variables
and fixed effects. In the output, hp2 denotes partial eta squared.
Usage
wrap.simple(dv1, iv1, iv2, adjustment = "none")
Arguments
dv1
Column vector containing the dependent variable
iv1, iv2
Column vectors containing the between-subjects independent variables.
The function will test for simple main effects of iv1 separately at each level
of iv2.
adjustment
Character string representing the method of p value adjustment
("none", "holm", "hochberg", "hommel",
"bonferroni", "BH", "BY", or "fdr").
See Also
testInteractions
Examples
wrap.simple(dv1 = bdata$DV5, iv1 = bdata$IV1, iv2 = bdata$IV2)
michaelkardas/bwrappers documentation built on Nov. 13, 2022, 1:14 a.m.
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| wrap.simple | R Documentation |
ANOVA (simple main effects)
Description
Computes simple main effects for a two-way, between-subjects ANOVA.
The function delegates the primary computations to testInteractions.
Note that this function assumes categorical (i.e., unordered) independent variables
and fixed effects. In the output, hp2 denotes partial eta squared.
Usage
wrap.simple(dv1, iv1, iv2, adjustment = "none")
Arguments
dv1 |
Column vector containing the dependent variable |
iv1, iv2 |
Column vectors containing the between-subjects independent variables.
The function will test for simple main effects of |
adjustment |
Character string representing the method of p value adjustment
( |
See Also
testInteractions
Examples
wrap.simple(dv1 = bdata$DV5, iv1 = bdata$IV1, iv2 = bdata$IV2)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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